Product Data Engineer

Hunter Fan CompanyMemphis, TN
Onsite

About The Position

We are seeking a Product Data Engineer to own and evolve our product data ecosystem, with a focus on Salsify, system integrations, and data governance. This role is responsible for ensuring product data is accurate, scalable, and consistently delivered across internal systems and external channels. This position will play a key role in a product data cleanup and re-architecture initiative, while also supporting ongoing operations and business needs. The ideal candidate brings an API-first mindset, experience with event-driven or automated pipelines, and a strong focus on data quality SLAs and KPIs.

Requirements

  • 3+ years of experience in product data management, system administration, or PIM platforms
  • Experience owning or heavily supporting a PIM system (Salsify or similar)
  • Strong experience with REST APIs and JSON
  • Experience building workflows, automations, and data validation logic
  • Experience with eCommerce platforms (such as Shopify)
  • Familiarity with API-first design and automated or event-driven data pipelines
  • Strong troubleshooting and root cause analysis skills
  • Ability to work cross-functionally with both technical and business stakeholders

Nice To Haves

  • Experience with Python or similar scripting languages
  • Experience with ERP systems (such as Infor LN)
  • Experience with data governance tools (e.g., OpenMetadata, Collibra, Alation, or similar)
  • Experience building reporting and dashboards (BI tools or platform-native reporting)

Responsibilities

  • Product Data Platform Ownership
  • Serve as the primary owner and administrator of the PIM platform (Salsify)
  • Design and manage product data models, attributes, hierarchies, and relationships
  • Build and maintain formulas, validation rules, and workflows to enforce business logic and data quality
  • Manage user roles, permissions, and platform governance
  • Troubleshoot and resolve system issues, including imports, exports, and publishing errors
  • Integrations & Automation
  • Own and manage integrations between Salsify and internal/external systems (e.g., Shopify and other platforms)
  • Design and support API-based data flows with an emphasis on scalability and reliability
  • Develop and maintain automation solutions using APIs and scripting (Python preferred)
  • Build and support event-driven or automated pipelines to reduce manual intervention
  • Monitor integration performance and proactively resolve failures
  • Product Data Evolution
  • Support and help lead a product data cleanup and re-architecture initiative
  • Identify gaps in current data models, workflows, and processes and implement improvements
  • Partner with cross-functional teams to define scalable data structures and standards
  • Improve system design to support long-term business growth
  • Channel Syndication
  • Manage and optimize product data syndication to eCommerce and retail channels
  • Ensure data meets channel-specific requirements and publishing standards
  • Troubleshoot syndication issues and improve publishing success rates
  • Support product launches and updates across channels
  • Data Governance & Quality
  • Establish and enforce data governance standards, naming conventions, and validation rules
  • Define and monitor data quality SLAs and KPIs (e.g., completeness, accuracy, timeliness)
  • Support or leverage data governance tools (e.g., OpenMetadata or similar platforms)
  • Partner with business teams to improve data quality and accountability
  • Reporting & Metrics
  • Develop and maintain reporting on data quality, system performance, and syndication outcomes
  • Build dashboards and metrics for stakeholders and leadership
  • Provide insights and recommendations to improve processes, data quality, and system performance
  • Operational Support
  • Support day-to-day system usage, enhancements, and issue resolution
  • Manage and prioritize incoming tickets and requests from the business
  • Ensure stability and reliability of product data operations

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

101-250 employees

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